# Zavvi Scraper — Entertainment, Collectibles, Blu-ray & Merchand (`studio-amba/zavvi-scraper`) Actor

Scrape entertainment products, collectibles, Blu-rays, clothing, toys, trading cards, and merchandise from Zavvi.com. Supports search queries, multiple currencies (GBP/EUR/USD), and pagination. Uses Zavvi's GraphQL API for fast, reliable data extraction.

- **URL**: https://apify.com/studio-amba/zavvi-scraper.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 result scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Zavvi Scraper

Scrapes entertainment products from Zavvi.com -- collectibles, Blu-rays, vinyl, clothing, trading cards, Funko Pops, and pop culture merchandise. Uses Zavvi's public GraphQL API for fast, reliable extraction.

### GraphQL-powered

The scraper calls `horizon-api.www.zavvi.com/graphql` directly. No HTML parsing, no browser rendering. Each request returns up to 30 products with full pricing, stock status, images, and reviews.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQuery` | String | Search term (empty = browse by popularity) |
| `maxResults` | Integer | Limit (default: 100) |
| `currency` | String | `GBP` (default), `EUR`, or `USD` |
| `shippingDestination` | String | Country code (default: `GB`) |
| `sort` | String | `RELEVANCE` or `POPULARITY` |
| `proxyConfiguration` | Object | Proxy settings |

### Output

```json
{
    "name": "Star Wars The Mandalorian Funko Pop! Vinyl",
    "brand": "Funko",
    "price": 12.99,
    "originalPrice": 14.99,
    "currency": "GBP",
    "sku": "12345678",
    "inStock": true,
    "preorder": false,
    "rating": 4.8,
    "reviewCount": 142,
    "imageUrl": "https://i1.adis.ws/...",
    "imageUrls": ["https://i1.adis.ws/..."],
    "category": "Toys > Funko Pop! Vinyl",
    "categories": ["Toys", "Funko Pop! Vinyl"],
    "url": "https://www.zavvi.com/toys/star-wars-mandalorian-funko.html",
    "scrapedAt": "2026-03-16T10:00:00.000Z"
}
```

### Pricing

- `price` = current selling price in your chosen currency
- `originalPrice` = RRP (recommended retail price) when higher than selling price
- Multi-currency support: GBP, EUR, USD
- Pre-order items flagged with `preorder: true`

# Actor input Schema

## `searchQuery` (type: `string`):

Search for products by name or keyword (e.g., 'Marvel', 'Star Wars', 'Pokemon', 'Blu-ray'). Leave empty to get popular products.

## `maxResults` (type: `integer`):

Maximum number of products to return.

## `currency` (type: `string`):

Currency for product prices.

## `shippingDestination` (type: `string`):

Country code for shipping/pricing. Affects product availability and prices.

## `sort` (type: `string`):

How to sort the results.

## `proxyConfiguration` (type: `object`):

Proxy settings. Not strictly required as this scraper uses Zavvi's public GraphQL API, but recommended for large runs to avoid rate limiting.

## Actor input object example

```json
{
  "maxResults": 100,
  "currency": "GBP",
  "shippingDestination": "GB",
  "sort": "RELEVANCE"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/zavvi-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/zavvi-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call studio-amba/zavvi-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=studio-amba/zavvi-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/zZMT6cK6WfM6AeXQP/builds/HyZzzXxdBLGu0giCM/openapi.json